| other,18-1-H05-1032,ak | encodes and exploits information on how <term> | human judgments | </term> are distributed over the <term> text | #5381 The paper presents a Bayesian model for text summarization, which explicitly encodes and exploits information on how human judgments are distributed over the text. | |
| tech,22-3-H05-1032,ak | giving it a significant lead over <term> | non-Bayesian models | </term> . We describe a new method for the | #5427 It is found that the Bayesian approach generally leverages performance of a summarizer, at times giving it a significant lead over non-Bayesian models . |
